Correlation Between VF and Vera Bradley
Can any of the company-specific risk be diversified away by investing in both VF and Vera Bradley at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining VF and Vera Bradley into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between VF Corporation and Vera Bradley, you can compare the effects of market volatilities on VF and Vera Bradley and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in VF with a short position of Vera Bradley. Check out your portfolio center. Please also check ongoing floating volatility patterns of VF and Vera Bradley.
Diversification Opportunities for VF and Vera Bradley
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between VF and Vera is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding VF Corp. and Vera Bradley in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vera Bradley and VF is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on VF Corporation are associated (or correlated) with Vera Bradley. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vera Bradley has no effect on the direction of VF i.e., VF and Vera Bradley go up and down completely randomly.
Pair Corralation between VF and Vera Bradley
Considering the 90-day investment horizon VF Corporation is expected to generate 0.34 times more return on investment than Vera Bradley. However, VF Corporation is 2.94 times less risky than Vera Bradley. It trades about 0.11 of its potential returns per unit of risk. Vera Bradley is currently generating about -0.28 per unit of risk. If you would invest 2,034 in VF Corporation on October 6, 2024 and sell it today you would earn a total of 82.00 from holding VF Corporation or generate 4.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
VF Corp. vs. Vera Bradley
Performance |
Timeline |
VF Corporation |
Vera Bradley |
VF and Vera Bradley Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with VF and Vera Bradley
The main advantage of trading using opposite VF and Vera Bradley positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if VF position performs unexpectedly, Vera Bradley can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Vera Bradley will offset losses from the drop in Vera Bradley's long position.The idea behind VF Corporation and Vera Bradley pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Vera Bradley vs. VF Corporation | Vera Bradley vs. Levi Strauss Co | Vera Bradley vs. Under Armour A | Vera Bradley vs. Columbia Sportswear |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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